Research on Oil Monitoring of Heavy Vehicles Based on Information Entropy Theory

Abstract:

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This paper is mainly about the experiment research of oil monitoring for a kind of special heavy vehicle’s transmission system. The wear elements in lubrication oil of a heavy vehicle’s transmission system were analyzed by the spectroscopic analysis method, and gear’s wear status was studied. Probability density function and probability distribution function of wear information about the elements in lubricating oil were calculated by the maximum entropy theory. The running cut-off point is obtained for diagnostic criteria of the vehicle’s failure, which provided evidence for monitoring and judging the reliability of the vehicle’s wear.

Info:

Periodical:

Advanced Materials Research (Volumes 314-316)

Edited by:

Jian Gao

Pages:

1391-1395

DOI:

10.4028/www.scientific.net/AMR.314-316.1391

Citation:

X. G. Liu et al., "Research on Oil Monitoring of Heavy Vehicles Based on Information Entropy Theory", Advanced Materials Research, Vols. 314-316, pp. 1391-1395, 2011

Online since:

August 2011

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Price:

$35.00

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